At a Glance
- Tasks: Build and scale partner enablement for AI deployment in insurance.
- Company: Join Pace, the AI operations partner for top insurers.
- Benefits: Opportunity to grow with a dynamic team and make a real impact.
- Other info: Be part of a small, ambitious team aiming for massive industry impact.
- Why this job: Shape the future of AI in insurance and drive meaningful change.
- Qualifications: Experience in partnerships, product strategy, and clear communication.
The predicted salary is between 59400 - 72600 £ per year.
Pace is the AI operations partner for the world's leading insurers. We combine the speed of AI agents with expert review by our insurance operations team to automate insurance tasks. Almost $400bn per year is spent on outsourcing in financial services every year. We're here to change that, working side-by-side with some of the largest companies in the world.
We're looking for our first Partner Enablement hire - someone to own how Pace scales through others. You'll build the function from scratch and grow with it. Today, Pace drives measurable impact by deploying our agents directly with our largest insurance customers. Your job is to turn that expertise into a repeatable motion that partners (systems integrators, consultancies, brokers, and technology alliances) can run themselves. You'll equip them to deploy Pace's agents, drive adoption, and expand usage across workflows and business units. You'll sit at the intersection of partnerships, customer operations, product strategy, and growth.
What this looks like in practice:
- Build the partner enablement engine: Design the onboarding, training, certification, and collateral that make partners self-sufficient at deploying Pace's agents and Pace-obsessed!
- Codify deployment into a repeatable playbook: Translate what makes a Pace deployment succeed (pain points, success criteria, rollout steps) into clear, executable programs partners can replicate across customers.
- Drive executive-level value narratives through partners: Equip partners to lead demos, pilots, and business reviews that clearly articulate ROI, operational impact, and expansion opportunities to customer stakeholders.
- Partner with Product & Engineering: Surface partner and customer feedback, gaps, and edge cases to drive the roadmap and improve the Pace platform.
- Own partner outcomes: Track adoption, impact, and expansion across the partner ecosystem, and continuously sharpen the enablement motion based on what's working.
You're a great fit if you:
- Have high autonomy, a strong bias to action, and a genuine curiosity for understanding customers and partners.
- Have experience operating at the intersection of partnerships/channel, customers, product, and GTM.
- Communicate clearly with executives, operators, and technical teams.
- Are comfortable turning messy, real-world workflows into clear, executable steps and repeatable programs.
- Have a high-ownership mindset - you're accountable for outcomes, not just deliverables.
Bonus: Founder or startup experience, or experience building a channel, partner, or enablement function from zero.
Team characteristics
The Pace team has a couple of defining characteristics:
- Integrity: The most important thing is working with good people who want to have a massive impact on the world. Our team genuinely wants to do the best work of their careers and know it'll take 5-10 years of focus to deliver.
- Ambition: The ambition for this company is not just a good vertical AI business but a $100bn+ outcome across vertical services. We're looking for people that rise to that level of ambition. Oftentimes this means they want to be the best at what they do, become leaders at scale, or one day start their own company. Pace will be the best place to learn, deliver impact, and advance your path to do something great.
At Pace, we're building a talent-dense team where teammates grow into leaders. This might mean growing into a world-class IC, owning a line of business, or leading teams. Whichever your path, we want to support you to grow at Pace and beyond for the long-term.
We're a <40 person team based in-person in New York and are lucky to be perfectly positioned with leading customers and top investors to make a real impact on one of the largest industries in the world.
Member of Applied AI Staff, Partner Enablement in London employer: PACE
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StudySmarter Expert Advice🤫
We think this is how you could land Member of Applied AI Staff, Partner Enablement in London
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We think you need these skills to ace Member of Applied AI Staff, Partner Enablement in London
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at PACE, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at PACE
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.
✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with PACE’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.